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Author

Na Song

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Open access Aug 2026

Learning Multi-View Representations with Graph-Level Fusion: A Bi-Level Optimization Perspective

This work formally formulates the multi-view data fusion task as a rigorous mathematical optimization problem, and demonstrates consistent effectiveness in clustering tasks, achieving state-of-the-art performance on six benchmark datasets.

Na Song, Xin Wang, Zhi-Cai Zhang et al. · 0 citations
Conference Open access Sep 2026

McGcn: Learning Continuous Graph Dynamics for Multi-Channel Fusion

A novel framework for multi-channel data fusion that integrates a multi-channel encoding module with continuous feature dynamics to initialize and evolve the latent node representations over static graph topologies, and effectively mitigates the performance degradation typically associated with deep graph architectures...

Na Song, Zi-Han Fang, Wei-Dong Zhang et al. · 0 citations

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